Comparer des méthodes

	Analyse de similarité représentationnelle	Analyse des réseaux cérébraux par graphes
Domaine	Neuro-imagerie	Neuro-imagerie
Famille	Process / pipeline	Process / pipeline
Année d'origine	2008	2009
Auteur d'origine	Nikolaus Kriegeskorte	Ed Bullmore
Type	fMRI similarity structure comparison	Brain network graph analysis pipeline
Source fondatrice	Kriegeskorte, N., Mur, M., & Bandettini, P. A. (2008). Representational similarity analysis—connecting the branches of systems neuroscience. Frontiers in Systems Neuroscience, 2, 4.	Bullmore, E., & Sporns, O. (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience, 10(3), 186–198.
Alias	RSA, representational geometry, similarity structure analysis	graph theory, brain network analysis, network neuroscience
Apparentées	3	3
Résumé	Representational Similarity Analysis (RSA) is a framework for comparing representational geometry across brain regions, computational models, and behavioral measures. Introduced by Kriegeskorte and colleagues in 2008, RSA measures how similarly a brain region represents different stimuli or concepts by examining pairwise similarity structure rather than absolute activity patterns.	Graph Theoretical Brain Network Analysis applies network science to understand brain organization, treating the brain as a complex network of interconnected nodes (regions) and edges (connections). Formalized by Bullmore and Sporns in 2009, graph analysis reveals fundamental organizational principles—modularity, efficiency, resilience—that characterize healthy and diseased brains.